Medicina (Mar 2023)

Health Information Technology Usability Evaluation Scale (Health-ITUES) and User-Experience Questionnaire (UEQ) for 3D Intraoperative Cognitive Navigation (ICON3D<sup>TM</sup>) System for Urological Procedures

  • Enrico Checcucci,
  • Federico Piramide,
  • Sabrina De Cillis,
  • Gabriele Volpi,
  • Alberto Piana,
  • Paolo Verri,
  • Andrea Bellin,
  • Michele Di Dio,
  • Cristian Fiori,
  • Francesco Porpiglia,
  • Daniele Amparore,
  • Icon Study Group

DOI
https://doi.org/10.3390/medicina59030624
Journal volume & issue
Vol. 59, no. 3
p. 624

Abstract

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Backgound and objectives: In recent years, the adoption of 3D models for surgical planning and intraoperative guidance has gained a wide diffusion. The aim of this study was to evaluate the surgeons’ perception and usability of ICON3DTM platform for robotic and laparoscopic urological surgical procedures. Materials and Methods: During the 10th edition of the Techno-Urology Meeting, surgeons and attendees had the opportunity to test the new ICON3DTM platform. The capability of the user to manipulate the model with hands/mouse, the software usability, the quality of the 3D model’s reproduction, and the quality of its use during the surgery were evaluated with the Health Information Technology Usability Evaluation Scale (Health-ITUES) and the User-Experience Questionnaire (UEQ). Results: Fifty-three participants responded to the questionnaires. Based on the answers to the Health-ITUES questionnaire, ICON3DTM resulted to have a positive additional value in presurgical/surgical planning with 43.4% and 39.6% of responders that rated 4 (agree) and 5 (strongly agree), respectively. Regarding the UEQ questionnaire, both mouse and infrared hand-tracking system resulted to be easy to use for 99% of the responders, while the software resulted to be easy to use for 93.4% of the responders. Conclusions: In conclusion, ICON3DTM has been widely appreciated by urologists thanks to its various applications, from preoperative planning to its support for intraoperative decision-making in both robot-assisted and laparoscopic settings.

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